Order picking is one of the most labor- and time-consuming processes in supply chains. Improving the performance of order picking is thus a frequently researched topic. Due to high cost pressure for warehouse managers the space in storage areas has to be used efficiently. Hence narrow-aisle warehouses where order pickers cannot pass as well as several order pickers working in the same area are common. This leads to congestion which is in this context referred to as picker blocking. This paper employs an agent-based simulation approach to investigate the effects of picker blocking in manual order picking systems with different combinations of routing policies for three order pickers in a rectangular warehouse with narrow-aisles.

The objective of this paper is to propose and test a framework for integrated assessment of infrastructure systems at the interface between the dynamic behaviors of assets, agencies, and users. For the purpose of this study a hybrid agent-based/mathematical simulation model is created and tested using a numerical example related to a roadway network.

A hierarchical production planning structure enables manufacturing systems to handle customer
disturbances with different measures on different planning levels. Two different kinds of customer order
behavior can be observed and are as well discussed in literature.

Projects in mechanized tunneling frequently do not reach their targeted production performance. Reasons
are often related to an undersized or disturbed supply-chain management of the surface jobsite. Due to
the sensitive interaction of production and logistic processes, planning and analyzing the supply-chain is
a challenging task.

The offshore wind industry in Europe is looking to move further from shore and increase the size of wind
parks and wind turbines. As of now marine logistics during the operation and maintenance life cycle
phase is, besides wind turbine reliability, the most important limitation for wind turbine service, repair
and replacement, and pose a large risk for wind park operators and owners.

This paper presents preliminary analysis of the Panama Canal Expansion from the viewpoint of salinity in
the Gatun Lake and the utilization of neural networks. This analysis utilized simulation modeling and
artificial intelligence.

Various actors are involved in hinterland transportation of incoming rail containers along the maritime transport chain. To coordinate each actor’s logistics processes, and therefore to improve utilization of existing transport capacity, the early provision of information, e.g. in form of estimated time of arrival (ETA), is inevitable.

Physical Internet (PI) is a novel concept aiming to render more economically, environmentally and socially efficient and sustainable the way physical objects are transported, handled, stored, realized, supplied and used throughout the world. It enables, among other webs, the Mobility Web which deals with moving physical objects within an interconnected set of unimodal and multimodal hubs, transits, ports, roads and ways.